142 resultados para COMPUTER ARCHITECTURE
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BACKGROUND: Clinical practice does not always reflect best practice and evidence, partly because of unconscious acts of omission, information overload, or inaccessible information. Reminders may help clinicians overcome these problems by prompting the doctor to recall information that they already know or would be expected to know and by providing information or guidance in a more accessible and relevant format, at a particularly appropriate time. OBJECTIVES: To evaluate the effects of reminders automatically generated through a computerized system and delivered on paper to healthcare professionals on processes of care (related to healthcare professionals' practice) and outcomes of care (related to patients' health condition). SEARCH METHODS: For this update the EPOC Trials Search Co-ordinator searched the following databases between June 11-19, 2012: The Cochrane Central Register of Controlled Trials (CENTRAL) and Cochrane Library (Economics, Methods, and Health Technology Assessment sections), Issue 6, 2012; MEDLINE, OVID (1946- ), Daily Update, and In-process; EMBASE, Ovid (1947- ); CINAHL, EbscoHost (1980- ); EPOC Specialised Register, Reference Manager, and INSPEC, Engineering Village. The authors reviewed reference lists of related reviews and studies. SELECTION CRITERIA: We included individual or cluster-randomized controlled trials (RCTs) and non-randomized controlled trials (NRCTs) that evaluated the impact of computer-generated reminders delivered on paper to healthcare professionals on processes and/or outcomes of care. DATA COLLECTION AND ANALYSIS: Review authors working in pairs independently screened studies for eligibility and abstracted data. We contacted authors to obtain important missing information for studies that were published within the last 10 years. For each study, we extracted the primary outcome when it was defined or calculated the median effect size across all reported outcomes. We then calculated the median absolute improvement and interquartile range (IQR) in process adherence across included studies using the primary outcome or median outcome as representative outcome. MAIN RESULTS: In the 32 included studies, computer-generated reminders delivered on paper to healthcare professionals achieved moderate improvement in professional practices, with a median improvement of processes of care of 7.0% (IQR: 3.9% to 16.4%). Implementing reminders alone improved care by 11.2% (IQR 6.5% to 19.6%) compared with usual care, while implementing reminders in addition to another intervention improved care by 4.0% only (IQR 3.0% to 6.0%) compared with the other intervention. The quality of evidence for these comparisons was rated as moderate according to the GRADE approach. Two reminder features were associated with larger effect sizes: providing space on the reminder for provider to enter a response (median 13.7% versus 4.3% for no response, P value = 0.01) and providing an explanation of the content or advice on the reminder (median 12.0% versus 4.2% for no explanation, P value = 0.02). Median improvement in processes of care also differed according to the behaviour the reminder targeted: for instance, reminders to vaccinate improved processes of care by 13.1% (IQR 12.2% to 20.7%) compared with other targeted behaviours. In the only study that had sufficient power to detect a clinically significant effect on outcomes of care, reminders were not associated with significant improvements. AUTHORS' CONCLUSIONS: There is moderate quality evidence that computer-generated reminders delivered on paper to healthcare professionals achieve moderate improvement in process of care. Two characteristics emerged as significant predictors of improvement: providing space on the reminder for a response from the clinician and providing an explanation of the reminder's content or advice. The heterogeneity of the reminder interventions included in this review also suggests that reminders can improve care in various settings under various conditions.
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The liver-specific vitellogenin B1 promoter is efficiently activated by estrogen within a nucleosomal environment after microinjection into Xenopus laevis oocytes, consistent with the hypothesis that significant nucleosome remodeling over this promoter is not a prerequisite for the activation by the estrogen receptor (ERalpha). This observation lead us to investigate determinants other than ERalpha of chromatin structure and transcriptional activation of the vitellogenin B1 promoter in this system and in vitro. We find that the liver-enriched transcription factor HNF3 has an important organizational role for chromatin structure as demonstrated by DNase I-hypersensitive site mapping. Both HNF3 and the estrogen receptor activate transcription synergistically and are able to interact with chromatin reconstituted in vitro with three positioned nucleosomes. We propose that HNF3 is the cellular determinant which establishes a promoter environment favorable to a rapid transcriptional activation by the estrogen receptor.
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The discipline of Enterprise Architecture Management (EAM) deals with the alignment of business and information systems architectures. While EAM has long been regarded as a discipline for IT managers this book takes a different stance: It explains how top executives can use EAM for leveraging their strategic planning and controlling processes and how EAM can contribute to sustainable competitive advantage. Based on the analysis of best practices from eight leading European companies from various industries the book presents crucial elements of successful EAM. It outlines what executives need to do in terms of governance, processes, methodologies and culture in order to bring their management to the next level. Beyond this, the book points how EAM might develop in the next decade allowing today's managers to prepare for the future of architecture management.
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Introduction: Therapeutic drug monitoring (TDM) aims at optimizing treatment by individualizing dosage regimen based on measurement of blood concentrations. Maintaining concentrations within a target range requires pharmacokinetic and clinical capabilities. Bayesian calculation represents a gold standard in TDM approach but requires computing assistance. In the last decades computer programs have been developed to assist clinicians in this assignment. The aim of this benchmarking was to assess and compare computer tools designed to support TDM clinical activities.¦Method: Literature and Internet search was performed to identify software. All programs were tested on common personal computer. Each program was scored against a standardized grid covering pharmacokinetic relevance, user-friendliness, computing aspects, interfacing, and storage. A weighting factor was applied to each criterion of the grid to consider its relative importance. To assess the robustness of the software, six representative clinical vignettes were also processed through all of them.¦Results: 12 software tools were identified, tested and ranked. It represents a comprehensive review of the available software's characteristics. Numbers of drugs handled vary widely and 8 programs offer the ability to the user to add its own drug model. 10 computer programs are able to compute Bayesian dosage adaptation based on a blood concentration (a posteriori adjustment) while 9 are also able to suggest a priori dosage regimen (prior to any blood concentration measurement), based on individual patient covariates, such as age, gender, weight. Among those applying Bayesian analysis, one uses the non-parametric approach. The top 2 software emerging from this benchmark are MwPharm and TCIWorks. Other programs evaluated have also a good potential but are less sophisticated (e.g. in terms of storage or report generation) or less user-friendly.¦Conclusion: Whereas 2 integrated programs are at the top of the ranked listed, such complex tools would possibly not fit all institutions, and each software tool must be regarded with respect to individual needs of hospitals or clinicians. Interest in computing tool to support therapeutic monitoring is still growing. Although developers put efforts into it the last years, there is still room for improvement, especially in terms of institutional information system interfacing, user-friendliness, capacity of data storage and report generation.
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Objectives: Therapeutic drug monitoring (TDM) aims at optimizing treatment by individualizing dosage regimen based on blood concentrations measurement. Maintaining concentrations within a target range requires pharmacokinetic (PK) and clinical capabilities. Bayesian calculation represents a gold standard in TDM approach but requires computing assistance. The aim of this benchmarking was to assess and compare computer tools designed to support TDM clinical activities.¦Methods: Literature and Internet were searched to identify software. Each program was scored against a standardized grid covering pharmacokinetic relevance, user-friendliness, computing aspects, interfacing, and storage. A weighting factor was applied to each criterion of the grid to consider its relative importance. To assess the robustness of the software, six representative clinical vignettes were also processed through all of them.¦Results: 12 software tools were identified, tested and ranked. It represents a comprehensive review of the available software characteristics. Numbers of drugs handled vary from 2 to more than 180, and integration of different population types is available for some programs. Nevertheless, 8 programs offer the ability to add new drug models based on population PK data. 10 computer tools incorporate Bayesian computation to predict dosage regimen (individual parameters are calculated based on population PK models). All of them are able to compute Bayesian a posteriori dosage adaptation based on a blood concentration while 9 are also able to suggest a priori dosage regimen, only based on individual patient covariates. Among those applying Bayesian analysis, MM-USC*PACK uses a non-parametric approach. The top 2 programs emerging from this benchmark are MwPharm and TCIWorks. Others programs evaluated have also a good potential but are less sophisticated or less user-friendly.¦Conclusions: Whereas 2 software packages are ranked at the top of the list, such complex tools would possibly not fit all institutions, and each program must be regarded with respect to individual needs of hospitals or clinicians. Programs should be easy and fast for routine activities, including for non-experienced users. Although interest in TDM tools is growing and efforts were put into it in the last years, there is still room for improvement, especially in terms of institutional information system interfacing, user-friendliness, capability of data storage and automated report generation.
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Enterprise Architecture (EA), which has been approached by both academia and industry, is considered comprising not only architectural representations, but also principles guiding architecture's design and evolution. Even though the concept of EA principles has been defined as the integral part of EA, the number of publications on this subject is very limited and only a few organizations use EA principles to manage their EA endeavors. In order to critically assess the current state of research and identify research gaps in EA principles, we focus on four general aspects of theoretical contributions in IS. By applying these aspects to EA principles, we outline future research directions in EA principles nature, adoption, practices, and impact.
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The function of sleep remains unknown. To gain insight into the function of sleep in natural conditions, I assessed variation in sleep architecture and its link with fitness-related phenotypic traits. I considered melanin-based coloration because its underlying genetic basis is very well known giving an opportunity to examine whether some genes pleiotropically regulate both coloration and sleep. The melanocortin system is known to generate covariation between melanin-based coloration and other phenotypes like behaviour, physiology and life history traits. I investigated whether this system of genes could participate in the co-expression of coloration and sleep. I carried out a study with nestling barn owls (Tyto alba) in order to tackle the potential link between variation in color traits and the ontogeny of sleep under natural conditions. For this I established a suitable method for recording the brain activity (electroencephalogram) of owls in nature. Birds are especially interesting, because they convergently evolved sleep states similar to those exhibited by mammals. As in mammals, I found that in owlets time spent in rapid eye movement (REM) sleep declines with age, a relationship thought to eflect developmental changes in the brain. Thus this developmental trajectory appears to reflect a fundamental feature of sleep. Additionally, I discovered an association between a gene involved in melanism expressed in the feather follicles (proprotein convertase subtilisin/kexin type 2, PCSK2) and the age-related changes in sleep in the brain. Nestlings with higher expression levels of PCSK2 showed a more precocial pattern of sleep development and a higher degree of melanin-based coloration compared to nestlings with lower PCSK2 expression. Also sleep architecture and the development of rhythmicity in brain and physical activity was related to plumage traits of the nestlings and their biological parents. This pattern during ontogeny might reflect differences in life l history strategies, antipredator behaviour and developmental pace. Therefore, differently colored individuals may differentially deal with trade-offs between the costs and benefits of sleep which in turn lead to differences in brain organization and ultimately fitness. These results should stimulate evolutionary biologists to consider sleep as a major life history trait. Résumé La fonction du sommeil reste inconnue. Afin d'acquérir une meilleur compréhension de la fonction du sommeil dans les conditions naturelles, j'ai analysé la variation dans l'architecture du sommeil et son lien avec d'autres traits phénotypiques liés au succès reproducteur (fitness). J'ai choisi et examiné la coloration mélanique, car ses bases génétiques sont bien connues et il est ainsi possible d'étudier si certains gènes, de façon pléiotropique régulent à la fois la coloration et le sommeil. J'ai exploré si ce système génétique était impliqué dans la co-expression de la coloration et du sommeil. J'ai effectué mon étude sur des poussins de chouette effraie (Tyto alba) en condition naturelle, pour rechercher ce lien potentiel entre la variation de la coloration et l'ontogenèse du sommeil. Dans ce but, j'ai établi une méthodologie permettant d'enregistrer l'activité cérébrale (électroencéphalogramme) des chouettes dans la nature. Les oiseaux sont particulièrement intéressants car ils ont développé, par évolution convergente, des phases de sommeil similaires à celles des mammifères. De manière semblable à ce qui a été montré chez les mammifères, j'ai découvert que le temps passé dans le sommeil paradoxal diminue avec l'âge des poussins. On pense que ceci est dû aux changements développementaux au niveau du cerveau. Cette trajectoire développementale semble refléter une caractéristique fondamentale du sommeil. J'ai également découvert une association entre l'un des gènes impliqué dans le mélanisme, exprimé dans les follicules plumeux (proprotein convertase subtilisin/kexin type 2, PCSK2), et les changements dans la structure du sommeil avec l'âge. Les poussins ayant un niveau d'expression génétique élevé de la PCSK2 présentent une structure du sommeil plus précoce et un taux de coloration dû à la mélanine plus élevé que des poussins avec un niveau d'expression moindre de la PCSK2. L'architecture du sommeil et le développement de la rythmicité dans le cerveau ainsi que l'activité physique sont également liés à la coloration des plumes des poussins et pourraient ainsi refléter des différences de stratégies d'histoire de vie, de comportements anti-prédateur et de vitesses développementales. Ainsi, des individus de coloration différente sembleraient traiter différemment les coûts et les bénéfices du sommeil, ce qui aurait des conséquences sur l'organisation cérébrale et pour finir, sur le succès reproducteur. Ces résultats devraient encourager les biologistes évolutionnistes à considérer le sommeil comme un important trait d'histoire de vie. Zusammenfassung Die Funktion von Schlaf ist noch unbekannt. Um mehr Einsicht in diese unter natürlichen Bedingungen zu bekommen, habe ich die Variation in der Schlafarchitektur und die Verknüpfung mit phänotypischen Merkmalen, die mit der Fitness zusammenhängen, studiert. Ich habe mir melanin-basierte Färbung angesehen, da die zugrunde liegende genetische Basis bekannt ist und somit die Möglichkeit gegeben ist, zu untersuchen, ob einige Gene beides regulieren, Färbung und Schlaf. Das melanocortin System generiert eine Kovariation zwischen melanin-basierter Färbung und anderen phänotypischer Merkmale wie Verhalten, Physiologie und Überlebensstrategien. Ich habe untersucht, ob dieses Gensystem an einer gleichzeitigen Steuerung von Färbung und Schlaf beteiligt ist. Dazu habe ich Schleiereulen (Tyto alba) studiert um einen möglichen Zusammenhang zwischen der Variation in der Pigmentierung und der Entwicklung des Schlafs unter natürlichen Bedingungen zu entdecken. Für diese Studie entwickelte ich eine Methode um die Gehirnaktivität (Elektroenzephalogramm) bei Eulen in der Natur aufzunehmen. Vögel sind besonders interessant, da sie die gleichen Schlafstadien aufweisen wie Säugetiere und diese unabhängig konvergent entwickelt haben. Genauso wie bei Säugetieren nahm die Dauer des sogenannten ,,rapid eye movement" (REM) - Schlafes mit zunehmendem Alter ab. Es wird angenommen, dass dieser Zusammenhang die Entwicklung des Gehirns widerspiegelt. Daher scheint dieses Entwicklungsmuster ein fundamentaler Aspekt von Schlaf zu sein. Zusätzlich entdeckte ich einen Zusammenhang zwischen der Aktivität eines Gens in den Federfollikeln (proprotein convertase subtilisin/kexin type 2, PCSK2), das für die Ausprägung schwarzer Punkte auf den Federn der Eulen verantwortlich ist, und den altersabhängigen Änderungen im Schlafmuster im Gehirn. Küken mit höherer Aktivität von PCSK2 zeigten eine frühreifere Schlafentwicklung und eine dunklere Färbung als Küken mit niedriger PCSK2 Aktivität. Die Architekture des Schlafes und die Entwicklung der Rhythmik im Gehirn und die der physischen Aktivität ist mit der Färbung des Gefieders von den Küken und ihren Eltern verknüpft. Dieses Muster während der Entwicklung kann Unterschiede in Überlebensstrategien, Feindabwehrverhalten und in der Entwicklungsgeschwindigkeit reflektieren. Unterschiedlich gefärbte Individuen könnten unterschiedliche Strategien haben um zwischen den Kosten und Nutzen von Schlaf zu entscheiden, was zu Unterschieden in der Gehirnstruktur führen kann und letztendlich zur Fitness. Diese Ergebnisse sollten Evolutionsbiologen stimulieren Schlaf als einen wichtigen Bestandteil des Lebens zu behandeln.
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Accurate prediction of transcription factor binding sites is needed to unravel the function and regulation of genes discovered in genome sequencing projects. To evaluate current computer prediction tools, we have begun a systematic study of the sequence-specific DNA-binding of a transcription factor belonging to the CTF/NFI family. Using a systematic collection of rationally designed oligonucleotides combined with an in vitro DNA binding assay, we found that the sequence specificity of this protein cannot be represented by a simple consensus sequence or weight matrix. For instance, CTF/NFI uses a flexible DNA binding mode that allows for variations of the binding site length. From the experimental data, we derived a novel prediction method using a generalised profile as a binding site predictor. Experimental evaluation of the generalised profile indicated that it accurately predicts the binding affinity of the transcription factor to natural or synthetic DNA sequences. Furthermore, the in vitro measured binding affinities of a subset of oligonucleotides were found to correlate with their transcriptional activities in transfected cells. The combined computational-experimental approach exemplified in this work thus resulted in an accurate prediction method for CTF/NFI binding sites potentially functioning as regulatory regions in vivo.